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Sagot :
In a residual plot if the linearity assumption is the points are scattered and there is no obvious pattern.
Residual plot:
in statistics, residual value is a measure of how much a regression line vertically misses a data point.
Given,
Here we need to find what would you expect to see in a residual plot if the linearity assumption is correct.
As per the definition of residual plot, there is no obvious pattern for this plot and the positive and negative values are evenly spread across the whole range.
Therefore, in the regression line there are some points are misses the line on the vertical base.
To know more about Residual point here.
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